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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/cmpb/LiuXWYYTZ22>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Chengyi_Wang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Feng_Tian>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Guang_Zhang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Guanjun_Liu>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/JiaMeng_Xu>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jing_Yuan>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Ming_Yu_0007>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1016%2Fj.cmpb.2022.107236>
foaf:homepage <https://doi.org/10.1016/j.cmpb.2022.107236>
dc:identifier DBLP journals/cmpb/LiuXWYYTZ22 (xsd:string)
dc:identifier DOI doi.org%2F10.1016%2Fj.cmpb.2022.107236 (xsd:string)
dcterms:issued 2022 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/cmpb>
rdfs:label A machine learning method for predicting the probability of MODS using only non-invasive parameters. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Chengyi_Wang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Feng_Tian>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Guang_Zhang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Guanjun_Liu>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/JiaMeng_Xu>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jing_Yuan>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Ming_Yu_0007>
swrc:pages 107236 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/cmpb/LiuXWYYTZ22/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/cmpb/LiuXWYYTZ22>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/cmpb/cmpb227.html#LiuXWYYTZ22>
rdfs:seeAlso <https://doi.org/10.1016/j.cmpb.2022.107236>
dc:title A machine learning method for predicting the probability of MODS using only non-invasive parameters. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 227 (xsd:string)